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Optimal design and optimal algorithm of fuzzy CMAC
Proceedings of the 37th SICE Annual Conference. International Session Papers
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A novel CMAC is explored in this paper. The optimal design means to optimize distribution of displacement vectors and membership function of Fuzzy CMAC. This method unify optimizatipon problem of Fuzzy CMAC and its learing object. The distribution of displacement vectors,the membership function, and optimal internal representation of Fuzzy CMAC can be established by genetic algorithm. The learning ability of this optimal Fuzzy CMAC is much better than Albus' CMAC and etc.. Simulation show effectiveness of this method.
doi:10.1109/sice.1998.742917
fatcat:7gjrq6fq6feg7b7kffxb25gyvy